Sotabase

Career

· Postdoctoral Researcher, Stanford University2021–2022
· Research Intern, Facebook AI Research2018–2018
· Research Intern, OpenAI2017–2017
· Research Intern, Megvii2016–2016
· Doctor of Philosophy (Ph.D.) in Computer Science, Stanford University2016–2021
· Master of Science (M.S.) in Computer Science, Stanford University2016–2021
· Research Assistant, Stanford University2016–2021
· Visiting Researcher, Information Initiative, Duke University2015–2015
· Bachelor of Engineering in Computer Science and Technology, Tsinghua University2012–2016
· Chief Scientist, Luma AI
· Luma AI
· Research Scientist, NVIDIA Research

Publications (220)

Denoising Diffusion Implicit Models
International Conference on Learning Representations · 2020
10,532
cited
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv.org · 2022
2,201
cited
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
International Conference on Learning Representations · 2021
1,935
cited
Denoising Diffusion Restoration Models
Neural Information Processing Systems · 2022
1,119
cited
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Neural Information Processing Systems · 2021
843
cited
Eight high-quality genomes reveal pan-genome architecture and ecotype differentiation of Brassica napus
Nature Plants · 2020
549
cited
InfoVAE: Information Maximizing Variational Autoencoders
arXiv.org · 2017
476
cited
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Neural Information Processing Systems · 2017
393
cited
Permutation Invariant Graph Generation via Score-Based Generative Modeling
International Conference on Artificial Intelligence and Statistics · 2020
335
cited
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
arXiv.org · 2021
334
cited
InfoVAE: Balancing Learning and Inference in Variational Autoencoders
AAAI Conference on Artificial Intelligence · 2019
325
cited
Dual Diffusion Implicit Bridges for Image-to-Image Translation
International Conference on Learning Representations · 2022
252
cited
Multi-Agent Generative Adversarial Imitation Learning
Neural Information Processing Systems · 2018
250
cited
Understanding the Limitations of Variational Mutual Information Estimators
International Conference on Learning Representations · 2019
237
cited
IQ-Learn: Inverse soft-Q Learning for Imitation
Neural Information Processing Systems · 2021
230
cited
Extensive sequence divergence between the reference genomes of two elite indica rice varieties Zhenshan 97 and Minghui 63
Proceedings of the National Academy of Sciences of the United States of America · 2016
213
cited
A Theory of Usable Information Under Computational Constraints
International Conference on Learning Representations · 2020
200
cited
Two Gap-free Reference Genomes and a Global View of the Centromere Architecture in Rice.
Molecular Plant · 2021
190
cited
Learning Controllable Fair Representations
International Conference on Artificial Intelligence and Statistics · 2018
184
cited
Identification and analysis of adenine N6-methylation sites in the rice genome
Nature Plants · 2018
183
cited
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